Nicholas Teh

Nicholas Teh

Doctoral Student

Student, Oriel College

E: [email protected]

I: Google Scholar

Wolfson Building, Parks Road, Oxford OX1 3QD

Themes:

• Artificial Intelligence and Machine Learning
• Algorithms and Complexity Theory

See Also:

• Personal Webpage

Biography

I am a final-year PhD student in Computer Science at the University of Oxford, supervised by Edith Elkind. My research interests lie in computational social choice, specifically in fair resource allocation and multiwinner voting.

Selected Publications

View AllManage publications

• Verifying Proportionality in Temporal Voting

  Edith Elkind‚ Svetlana Obraztsova‚ Jannik Peters and Nicholas Teh

  In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 39. No. 13. Pages 13805−13813. April, 2025.

  Details about Verifying Proportionality in Temporal Voting | BibTeX data for Verifying Proportionality in Temporal Voting | DOI (10.1609/aaai.v39i13.33509) | Link to Verifying Proportionality in Temporal Voting

• Understanding EFX Allocations: Counting and Variants

  Tzeh Yuan Neoh and Nicholas Teh

  In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 39. No. 13. Pages 14036−14044. April, 2025.

  Details about Understanding EFX Allocations: Counting and Variants | BibTeX data for Understanding EFX Allocations: Counting and Variants | DOI (10.1609/aaai.v39i13.33536) | Link to Understanding EFX Allocations: Counting and Variants

• Weighted Envy−Freeness for Submodular Valuations

  Luisa Montanari‚ Ulrike Schmidt−Kraepelin‚ Warut Suksompong and Nicholas Teh

  In Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 9. Pages 9865−9873. March, 2024.

  Details about Weighted Envy−Freeness for Submodular Valuations | BibTeX data for Weighted Envy−Freeness for Submodular Valuations | DOI (10.1609/aaai.v38i9.28847) | Link to Weighted Envy−Freeness for Submodular Valuations

Activities

• Computational social choice
• Algorithmic Game Theory and Computational Economics

Supervisors